Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks

Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks

Electrocardiographic imaging (ECGi) reconstructs electrograms at the heart’s surface using the potentials recorded at the body’s surface. This is called the inverse problem of electrocardiography. This study aimed to improve on the current solution methods using machine learning and deep learning fr...

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Detalhes bibliográficos
Main Authors: Ke-Wei Chen, Laura Bear, Che-Wei Lin
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-03-01
Colecção:Sensors
Assuntos:
electrocardiographic imaging (ECGi)
deep learning
machine learning
inverse problem
Fully Connected Neural network (FCN)
Long Short-term Memory (LSTM)
Acesso em linha:https://www.mdpi.com/1424-8220/22/6/2331

Internet

https://www.mdpi.com/1424-8220/22/6/2331

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